lsm_l_dcad: DCAD (landscape level)

In r-spatialecology/landscapemetrics: Landscape Metrics for Categorical Map Patterns

DCAD (landscape level)

Description

Disjunct core area density (core area metric)

Usage

lsm_l_dcad(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)

Arguments

landscape	A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
directions	The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
consider_boundary	Logical if cells that only neighbour the landscape boundary should be considered as core
edge_depth	Distance (in cells) a cell has the be away from the patch edge to be considered as core cell

Details

DCAD = (\frac{\sum \limits_{i = 1}^{m} \sum \limits_{j = 1}^{n} n_{ij}^{core}} {A}) * 10000 * 100

where n_{ij}^{core} is the number of disjunct core areas and A is the total landscape area in square meters.

DCAD is a 'Core area metric'. It equals the number of disjunct core areas per 100 ha relative to the total area. A disjunct core area is a 'patch within the patch' containing only core cells. A cell is defined as core area if the cell has no neighbour with a different value than itself (rook's case). The metric is relative and therefore comparable among landscapes with different total areas.

Units

Number per 100 hectares

Range

DCAD >= 0

Behaviour

Equals DCAD = 0 when DCORE = 0, i.e. no patch contains a disjunct core area. Increases, without limit, as disjunct core areas become more present, i.e. patches becoming larger and less complex.

Value

tibble

References

McGarigal K., SA Cushman, and E Ene. 2023. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical Maps. Computer software program produced by the authors; available at the following web site: https://www.fragstats.org

See Also

lsm_c_ndca, lsm_l_ta,
lsm_c_dcad

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_dcad(landscape)

r-spatialecology/landscapemetrics documentation built on April 3, 2024, 2:21 a.m.